Ravi Shankar Kannan Email and Phone Number
Ravi Shankar Kannan work email
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- Valid
Ravi Shankar Kannan personal email
Experience: I am a computer vision and machine learning scientist with a decade of professional experience. During my tenure at Deep sentinel, Lily AI and Banjo Inc, I researched and repurposed models and engineered end-to-end ML pipelines from inception to deployment and maintenance. I worked as an Applied computer vision and ML engineer at Lily AI for their product attribution platform that injects the language of the customer across the existing retail stack, accurately connecting shoppers with the relevant products they’re looking to buy. Summary:- I’m an accomplished computer vision and ML engineer with a decade of professional experience.- Excellent at applying ML techniques to solve real-world problems, proficient in python and C++.- Demonstrated success in end-to-end ML pipelines, classical CV, deep learning, NLP, and MLOps.- Skilled in project management, led ML teams at startups, helped raise funds, and held three patents.Skills: - C++, Python and C#, SQL, MongoDB - ML Lifecycle, ML algorithms, - Supervised, Semi & Unsupervised, Reinforcement Learning, - Deep Neural network building from scratch, training, transfer-learning - Computer vision and perception - Development, and deployment in Cloud environments such as AWS, GCP - Experienced in MLOps, CI/CD, Orchestration, Containerization, Monitoring, Logging, Deployment and On-Call supportI worked on many humanitarian AI applications at Banjo/Safex AI and used live signal data to create alerts in real-time to save human lives. I have a Masters degree in Robotics from the University of Utah. My area of expertise lies in computer vision, image processing, Machine Learning, Artificial Intelligence & Deep-learning, and robot motion & path planning.More at: https://sites.google.com/site/ravishankarprofile/home
Fidelity Investments
View- Website:
- fidelity.com
- Employees:
- 10
- Company email:
- Johrenk7@gmail.com
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Senior Ai/Ml EngineerFidelity Investments Sep 2023 - PresentBoston, Ma, UsDevelop and deploy generative AI capabilities for Associate Experience. -
Machine Learning EngineerDeep Sentinel Feb 2023 - Jul 2023Pleasanton, Ca, Us -
Applied Machine Learning Engineer, Computer VisionLily Ai Jan 2022 - Dec 2022Mountain View, California, Us- Semi supervised learning using Noisy student learning to improve model performance using pseudo labels. - Prompt engineering on CLIP model using zero shot learning for new fashion domain data.- Building ML pipeline for model training with docker. Trained several hundred model with multiple architectures and hyperparameters- WANDB data and model management integration with LilyAI codebase.- WANDB sweeps for hyperparameter tuning and optimization. -
Machine Learning EngineerMi|Im Jun 2018 - Nov 2021Boston, Massachusetts, UsBuilding scalable AI technology to save lives and reduce human suffering. - Proven experience in research and implementation of ML models and deep neural networks. - Part of the team that developed end-to-end applications such as Child Abduction Retrieval Technology (CART) on live traffic camera data, Banjo Live Time (BLT) for live real-time signals, vehicle collision detector for intersections (SI). - Implemented Stopped Vehicle Detector using real time object detector and Kalman tracker for CART. - Research in several areas that include SOTA object detection & image classification approaches for replacing existing models for BLT and CART using deep learning and traditional CV techniques. - Research into non-deep learning techniques and traditional computer vision algorithms to speed up CART pipeline. - Deployed CART and several other services using docker on kubernetes cluster and worked on-call for the application support. - Repurposed real-time object detectors like YOLOv3, Fast RCNN, efficientDet and CenterNet for object detection research; Transfer learning pretrained models for building a (vehicle) color detector for CART pipeline. The pipeline also includes several preprocessing and post-processing techniques for video detection system. - Engineered an end-to-end curation system using a third party tool called Prodigy that helped us build an in-house curation pipeline. This helped in data annotation by Banjo's experts instead of outsourcing data and enabled model retraining. - Used time series analysis to analyze opioid overdose reports and to detect anomalies in roadway accidents. Used ARIMA, SARIMA and LSTM. - Used NLP techniques to remove/avoid ingesting unsafe text signals into database. -
Graduate Teaching AssistantUniversity Of Utah Aug 2017 - May 2018Salt Lake City, Ut, UsTeaching Assistant - ME 1000 - Design of Mechanical Design for Engineering Systems Lab.Responsibilities included:Teaching the CAD modelling software - Solidworks, to 100+ students.CAD modelling and design of fixed and movable systems.Consultant for the students' final project - Designing a Mechanically powered water pump.3D printing of various complex designs of water pump and supporting components used in the final project.Teaching Assistant - ME 1010 - Computer-Based Problem Solving for Engineering SystemsTeaching students to program on Arduino, C and MatlabResearched and developed an application to measure fingernail growth with images using RANSAC, graph-cut, segmentation, and deep learning which helped Usana Health Sciences further their research.Interfaced stereo camera to detect user’s face angle and depth with a treadmill while estimating gait. -
Student Software Qa Technician (Summer Intern - Part-Time)University Faculty Information Services (Univeristy Of Utah) May 2017 - Aug 2017
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Software EngineerTata Consultancy Services Jul 2013 - Jun 2016Mumbai, Maharashtra, InDeveloped a banking application for World Bank Group aimed at managing banking services. We built the service based on a test driven approach using ASP.NET and Oracle for database management.
Ravi Shankar Kannan Skills
Ravi Shankar Kannan Education Details
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University Of UtahRobotics Track -
Shanmugha Arts, Science, Technology And Research AcademyAnd Automation Engineering
Frequently Asked Questions about Ravi Shankar Kannan
What company does Ravi Shankar Kannan work for?
Ravi Shankar Kannan works for Fidelity Investments
What is Ravi Shankar Kannan's role at the current company?
Ravi Shankar Kannan's current role is Senior AI/ML engineer | Passionate about AI, Computer Vision, LLMs, NLP & ML Engineering.
What is Ravi Shankar Kannan's email address?
Ravi Shankar Kannan's email address is ravi@ban.jo
What schools did Ravi Shankar Kannan attend?
Ravi Shankar Kannan attended University Of Utah, Shanmugha Arts, Science, Technology And Research Academy.
What skills is Ravi Shankar Kannan known for?
Ravi Shankar Kannan has skills like Robotics, Matlab, Python, Machine Learning, Image Processing, Embedded Systems, Microcontrollers, Mobile Robotics, Ros, Asp.net Mvc, C#, C++.
Who are Ravi Shankar Kannan's colleagues?
Ravi Shankar Kannan's colleagues are Hayden Stone, Frank Margiotta, Courtenay Rodonets, Ahmad Al Jazaery, Sean Flynn, Eddie Kalil, Pradeep Sathishkumar.
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